Literature DB >> 21153885

Prognostic value of lymph node micrometastases in breast cancer: a multicenter cohort study.

Paul D Gobardhan1, Sjoerd G Elias, Eva V E Madsen, Bob van Wely, Frits van den Wildenberg, Evert B M Theunissen, Miranda F Ernst, Marike C Kokke, Carmen van der Pol, Inne H M Borel Rinkes, Jan H Wijsman, Vivian Bongers, Joost van Gorp, Thijs van Dalen.   

Abstract

BACKGROUND: To evaluate the prognostic meaning of lymph node micrometastases in breast cancer patients.
METHODS: Between January 2000 and January 2003, 1411 patients with a cT(1-2)N(0) invasive breast carcinoma underwent surgery in 7 hospitals in the Netherlands. Sentinel lymph node biopsy was done in all patients. Based on lymph node status, patients were divided into 4 groups: (p)N(0) (n = 922), (p)N(1micro) (n = 103), (p)N(1a) (n = 285), and (p)N(≥1b) (n = 101). Median follow-up was 6.4 years.
RESULTS: At the end of follow-up, 1121 women were still alive (79.4%), 184 had died (13.0%), and 106 were lost to follow-up (7.5%). Breast cancer recurred in 244 patients: distant metastasis (n = 165), locoregional relapse (n = 83), and contralateral breast cancer (n = 44). Following adjustment for possible confounding characteristics and for adjuvant systemic treatment, overall survival (OS) remained comparable for (p)N(0) and (p)N(1micro) and was significantly worse for (p)N(1a) and (p)N(≥1b) (hazard ratio [HR] 1.18; 95% confidence interval [95% CI] 0.58-2.39, HR 2.47; 95% CI 1.69-3.63, HR 4.36; 95% CI 2.70-7.04, respectively). Disease-free survival (DFS) was similar too in the (p)N(0) and (p)N(1micro) group, and worse for (p)N(1a) and (p)N(≥1b) (HR 0.96; 95% CI 0.56-1.67 vs HR 1.64; 95% CI 1.19-2.27, HR 2.95; CI 1.98-4.42). The distant metastases rate also did not differ significantly between the (p)N(0) and (p)N(1micro) group and was worse for (p)N(1a) and (p)N(≥1b) (HR 1.22; 95% CI 0.60-2.49, HR 2.26; 95% CI 1.49-3.40, HR 3.49; CI 2.12-5.77).
CONCLUSIONS: In breast cancer patients survival is not affected by the presence of micrometastatic lymph node involvement.

Entities:  

Mesh:

Year:  2010        PMID: 21153885      PMCID: PMC3087878          DOI: 10.1245/s10434-010-1451-z

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


Sentinel lymph node biopsy (SLNB) has replaced axillary lymph node dissection (ALND) for lymph node staging in breast cancer. Because of the more extensive pathology examination of sentinel lymph nodes (SLNs), small metastases are observed more frequently.1–7 Lymph node micrometastases (LNMM) or isolated tumor cells are observed in up to 23% of breast cancer patients.1,6,7 Recent studies have refueled the discussion regarding the prognostic meaning of LNMM.8–11 Some authors argue that LNMM do influence survival adversely, while others observed comparable survival for patients with micrometastases and patients without metastatic lymph node involvement. Although the discussion started well before the introduction of the SLNB, SLNB data are conflicting too. In a previous study we observed similar overall survival (OS) for patients classified as pN0 and pN1micro.12,13 The main weaknesses of that study were a limited follow-up period and the single-institutional experience.10 We therefore now report again on the prognostic meaning of micrometastatic lymph node involvement in a large cohort of consecutive patients from 7 Dutch hospitals with long-term follow-up.

Patients and Methods

Study Cohort

Data were collected on all patients who underwent surgery including SLNB between January 2000 and January 2003 for cT1–2N0 primary invasive breast cancer in 7 hospitals in the Netherlands: University Medical Center Utrecht, Diakonessen Hospital Utrecht, St Antonius Hospital Utrecht, Amphia Hospital Breda, Jeroen Bosch Hospital’s Hertogenbosch, Reinier de Graaf Hospital Delft, and Canisius Hospital Nijmegen. During the study period 1584 patients underwent surgical treatment. To avoid the difficulty of ascribing patient outcome to tumor-specific lymph node status, a number of cases were excluded: previous history of cancer (n = 84), synchronous contralateral breast cancer (n = 33), or multifocal carcinoma (n = 56). The cohort available for analysis consisted of 1411 patients.

SLNB and Pathology Examination of Lymph Nodes and the Primary Tumor

To visualize and identify SLNs, a preoperative lymphoscintigraphy was done, while a patent blue dye injection (Bleu patenté V, Laboratoire Guerbet, Aulnay-sous-Bois, France) and a γ-ray detection probe were used intraoperatively. The definitive pathology examination of SLNs was done according to the Dutch national guidelines: SLNs were formalin-fixed and paraffin-embedded, and starting from the center at least 3 cuts from both halves were taken at 250-μm intervals.14. The sections were stained both with hematoxylin and eosine (H&E) and immunohistochemically (IHC) with an antibody against keratin. When the axillary SLN contained micrometastases or macrometastases, patients were advised to undergo an ALND. Lymph nodes retrieved by ALND were examined by examining 1 central cut from every lymph node. In addition, the diameter, malignancy grade, and estrogen (ER) and progesterone (PR) receptor status of the primary tumor were assessed. At the time of the study, HER2/neu status was not routinely examined. There were institutional differences in the classification of malignancy grade. In 4 hospitals the modified Bloom and Richardson (BR) grade was assessed, while the mitotic activity index (MAI) was preferably used to assess tumor aggressiveness in the other hospitals.15 Three hospitals used both methods.

Classification of Metastatic Lymph Node Involvement

Lymph node involvement was categorized according to the 6th edition of the UICC-TNM classification: pN0, no lymphogenic metastasis; pNitc, isolated tumor cells (<0.2 mm); pN1micro, regional lymphogenic metastasis with a size between 0.2 and 2.0 mm; pN1a, 1–3 axillary lymphogenic macrometastases (at least one >2.0 mm); pN1b, 1 positive internal mammary node (>2.0 mm); pN1c, a combination of pN1a and pN1b; pN2, 4–9 ipsilateral axillary lymphogenic macrometastases; pN3, more than 9 axillary lymphogenic macrometastases.16 Original pathology reports were adhered to for the classification of metastatic lymph node involvement. When information regarding the size of micrometastases was missing, original slides were reviewed.

Postsurgical Treatment

According to the Dutch national guideline, adjuvant systemic and/or radiotherapeutic treatment was based on axillary lymph node status and primary tumor characteristics.14 In patients classified as pN1micro, the national guideline did not advise adjuvant systemic therapy on a routine basis. Acknowledging that the prognostic meaning of LNMM was unclear, this was routinely discussed with the patients and the choice to give hormonal therapy and/or chemotherapy was made by the physician and the patient.

Follow-Up

Follow-up started at the date of first operation. Patients were seen twice yearly during outpatient visits. Follow-up was concluded between April and November 2008. Dates of locoregional recurrence, contralateral breast cancer, bone or visceral metastases, and death were recorded.

Analysis

The main focus of our study was to compare pTNM pN1micro with pN0. We categorized patients into 4 groups on the basis of metastases in regional lymph nodes: pN0 (including pNitc, n = 23), pN1micro, pN1a, and pN≥1b. The following outcome measures were defined: overall survival (OS), disease-free survival (DFS), and its individual components: locoregional recurrence, contralateral breast cancer, and distant metastases (distinguishing between bone and visceral). Covariables were hospital, age at operation, tumor size, BR grade, MAI, ER/PR status, HER2/neu status, and adjuvant radiotherapy, hormonal therapy, or chemotherapy. The relation between lymph node status and patient outcome was analyzed using Cox proportional hazards regression. Several models were made for each outcome of interest: with adjustment for hospital (adjusted model 1), with additional adjustment for age (continuous), tumor size (continuous), and BR grade (adjusted model 2), and with additional adjustment for adjuvant treatment (adjusted model 3). Other covariables were not included in the models because of their modest baseline differences (ER and PR status) and the large number of missing values (MAI and HER2/neu), as well as to keep the ratio of variables to the number of outcome events in the models within reasonable boundaries.

Missing Data and Exploration of Heterogeneity

Not all patients had complete records for all covariables, mostly due to institutional differences in expressing malignancy grade and the fact that HER2/neu status was not assessed routinely before 2004. Missing values included: tumor size (n = 8), BR grade (n = 350), MAI (n = 505), ER status (n = 41), PR status (n = 55), HER2/neu status (n = 1215), adjuvant radiotherapy (n = 3), adjuvant hormonal therapy (n = 12), and adjuvant chemotherapy (n = 13). Missing values were imputed for all variables except HER2/neu and MAI, which were consequently not included in multivariable analyses. As the data were obtained from different hospitals, we explored heterogeneity in the proportion of patients with pN1micro and heterogeneity in overall DFS and OS risk between the hospitals. Also, we assessed heterogeneity across hospitals in the association between nodal status and DFS, but not OS as the number of deaths in each hospital was too small. A more detailed description of the methods can be found in the Supplementary Appendix.

Results

The median age of the 1411 patients was 57 years. Overall, 922 women (65.3%) were classified as pN0, 103 (7.3%) as pN1micro, 285 (20.2%) as pN1a, and 101 (7.2%) as pN≥1b. Baseline characteristics, in relation to lymph node status, are shown in Table 1. Notably, women with higher nodal status were more likely to be younger and had larger and less well-differentiated primary tumors. No clear differences were observed for MAI, ER/PR and HER2/neu. The frequency of patients with pN1micro disease varied significantly between each hospital with a median of 6.3% (range 4.2%–12.1%) per hospital (P = .006).
Table 1

Baseline characteristics according to lymph node status in 1411 cT1-2 breast cancer patients from 7 Dutch hospitals operated between 2000 and 2003

CharacteristicLymph node status P
pN0 (n = 922) pN1micro (n = 103) pN1a (n = 285) pN≥1b (n = 101)
Accrued years of follow-up57206421733582
Age (years)a 58.2 (27.4–89.5)55.9 (34.9–83.1)54.0 (32.7–90.7)51.8 (29.6–84.7)<.001c
Age (%)
 <35 years2.1%1.0%1.1%4.0%
 35–49 years21.7%28.2%33.7%38.6%
 ≥50 years76.2%70.9%65.3%57.4%<.001e
Tumor size (cm)b 1.7 (0.9)2.0 (0.9)2.2 (1.0)2.7 (1.5)<.001d
Tumor size (%)
 <1 cm14.6%3.9%6.0%2.0%
 1–2 cm53.6%52.4%39.3%28.7%
 2–3 cm24.0%33.0%37.2%40.6%
 ≥3 cm7.8%10.7%17.5%28.7%<.001e
Bloom-Richardson grade (%)
 Well differentiated18.8%15.5%13.3%9.9%
 Moderately differentiated54.8%69.9%64.2%53.5%
 Poorly differentiated26.5%14.6%22.5%36.6%<.001e
Mitotic activity indexa 6 (0–102)6 (0–25)10 (0–72)10 (0–71)<.001c
Mitotic activity index (%)
 <1064.1%70.9%49.8%46.5%
 ≥1035.9%29.1%50.2%53.5%<.001e
Estrogen receptor positive (%)79.2%81.6%80.4%78.2%.91e
Progesterone receptor positive (%)67.7%75.7%76.5%67.3%.02e
HER2/neu positive (%)16.0%5.9%18.0%42.9%.004e

Records with missing values that were imputed (see supplementary appendix): tumor size: 8 (<1%); Bloom-Richardson grade: 350 (25%); mitotic activity index: 505 (36%); estrogen receptor status: 41 (3%); progesterone receptor status: 55 (4%). For 1215 records HER2/neu status was unknown, these values were not imputed (shown here are the results from 196 records)

Percentages may not total 100% due to rounding

aMedian (range)

bMean (standard deviation)

cKruskall-Wallis test

dOne-way ANOVA test

eChi-square test

Baseline characteristics according to lymph node status in 1411 cT1-2 breast cancer patients from 7 Dutch hospitals operated between 2000 and 2003 Records with missing values that were imputed (see supplementary appendix): tumor size: 8 (<1%); Bloom-Richardson grade: 350 (25%); mitotic activity index: 505 (36%); estrogen receptor status: 41 (3%); progesterone receptor status: 55 (4%). For 1215 records HER2/neu status was unknown, these values were not imputed (shown here are the results from 196 records) Percentages may not total 100% due to rounding aMedian (range) bMean (standard deviation) cKruskall-Wallis test dOne-way ANOVA test eChi-square test At the end of follow-up, with a median of 6.4 years and totalling 8676 years of observation, 1121 women were still alive (79.4%), 184 had died (13.0%), and 106 were lost to follow-up (7.5%). Also, 123 patients died with and 61 patients died without breast cancer recurrence, the overall death rate was 2.1% per year. Breast cancer recurred in 244 patients: distant metastasis (n = 165), locoregional relapse (n = 83), and contralateral breast cancer (n = 44). The annual incidence rates were 1.0% for locoregional recurrence, 0.5% for contralateral cancer, and 2.0% for metastases (visceral: 1.5%; bone: 1.3%). Taking differences in baseline characteristics into account, overall OS and DFS were not different between hospitals (P = .49 and P = .21, respectively).

Adjuvant Postoperative Treatment

Adjuvant hormonal therapy and chemotherapy were given more frequently with increasing nodal status (Table 2). In the pN1micro group, 41% received chemotherapy and 63% hormonal therapy (20% received both).
Table 2

Postsurgical treatment according to lymph node status in 1411 cT1-2 breast cancer patients from 7 Dutch hospitals operated between 2000 and 2003

TherapyLymph node status P a
pN0 (n = 922) pN1micro (n = 103) pN1a (n = 285) pN≥1b (n = 101)
Radiotherapy (%)69.2%63.1%62.5%85.1%<.001
Hormonal therapy (%)18.9%63.1%74.0%72.3%<.001
Chemotherapy (%)20.1%40.8%57.2%70.3 %<.001

Records with missing values that were imputed (see appendix): adjuvant radiotherapy: 3 (<1%); adjuvant hormonal therapy: 12 (<1%); adjuvant chemotherapy: 13 (<1%)

aChi-square test

Postsurgical treatment according to lymph node status in 1411 cT1-2 breast cancer patients from 7 Dutch hospitals operated between 2000 and 2003 Records with missing values that were imputed (see appendix): adjuvant radiotherapy: 3 (<1%); adjuvant hormonal therapy: 12 (<1%); adjuvant chemotherapy: 13 (<1%) aChi-square test

Patient Outcome

After adjustment for hospital and differences in age, tumor size, and BR grade, OS in the pN1micro group was comparable to OS of patients with pN0 disease (hazard ratio [HR] 0.99; 95% confidence interval [CI]: 0.49–1.98). Compared with pN0 disease, OS was gradually worse for pN1a and pN≥1b patients (HR 1.99, 95% CI: 1.41–2.82 and HR 3.42; 95% CI: 2.21–5.30, respectively; Table 3 and Fig. 1a). Further adjustment for adjuvant therapy increased the HR for pN1a and pN≥1b, but did not substantially change the pN1micro risk estimate (Table 3).
Table 3

Lymph node status and overall and disease-free survival for 1411 cT1-2 breast cancer patients (from 7 Dutch hospitals operated between 2000 and 2003) in a hospital-only adjusted model, after additional adjustment for age, tumor size, and BR grade and after additional adjustment for adjuvant treatment

No. of patientsFollow-upa No. eventsIncidence rateb Adjusted model 1c Adjusted model 2d Adjusted model 3e
Hazard ratio (95% CI) P Hazard ratio (95% CI) P Hazard ratio (95% CI) P
Disease-free survival
 All1411818230537.28
 pN0 922541817432.121.00 (referent)1.00 (referent)1.00 (referent)
 pN1micro 1036211625.770.78 (0.46–1.32).360.84 (0.49–1.43).520.96 (0.56–1.67).90
 pN1a 28516267546.131.47 (1.12–1.92).0061.35 (1.02–1.79).041.64 (1.19–2.27).003
 pN≥1b 1015184077.222.52 (1.78–3.57)<.0012.29 (1.60–3.29)<.0012.95 (1.98–4.42)<.001
Overall survival
 All1411867618421.21
 pN0 92257208815.381.00 (referent)1.00 (referent)1.00 (referent)
 pN1micro 103642914.020.87 (0.44–1.73).690.99 (0.49–1.98).971.18 (0.58–2.39).65
 pN1a 28517335732.892.20 (1.57–3.07)<.0011.99 (1.41–2.82)<.0012.47 (1.69–3.63)<.001
 pN≥1b 1015823051.553.43 (2.25–5.22)<.0013.42 (2.21–5.30)<.0014.36 (2.70–7.04)<.001

Median follow-up 6.4 years

CI confidence interval

aFollow-up time in years (may not total due to rounding)

bIncidence rate per 1000 women per year

cAdjusted by Cox regression analysis for hospital

dAdditionally adjusted by Cox regression analysis for age, age2, tumor size (for overall survival also tumor size2), and BR grade

eAdditionally adjusted by Cox regression analysis for radiotherapy, hormonal therapy, and chemotherapy

Fig. 1

a Overall survival for clinically T1-2 breast cancer patients according to lymph node status. Median follow-up 6.4 years, on the basis of Cox proportional hazard analyses adjusted for age, age2, tumor size, tumor size2, BR-grade, lymph node status and adjuvant treatment. b Disease free survival for clinically T1-2 breast cancer patients according to lymph node status. Median follow-up 6.4 years, on the basis of Cox proportional hazard analyses adjusted for age, age2, tumor size, BR-grade, lymph node status and adjuvant treatment

Lymph node status and overall and disease-free survival for 1411 cT1-2 breast cancer patients (from 7 Dutch hospitals operated between 2000 and 2003) in a hospital-only adjusted model, after additional adjustment for age, tumor size, and BR grade and after additional adjustment for adjuvant treatment Median follow-up 6.4 years CI confidence interval aFollow-up time in years (may not total due to rounding) bIncidence rate per 1000 women per year cAdjusted by Cox regression analysis for hospital dAdditionally adjusted by Cox regression analysis for age, age2, tumor size (for overall survival also tumor size2), and BR grade eAdditionally adjusted by Cox regression analysis for radiotherapy, hormonal therapy, and chemotherapy a Overall survival for clinically T1-2 breast cancer patients according to lymph node status. Median follow-up 6.4 years, on the basis of Cox proportional hazard analyses adjusted for age, age2, tumor size, tumor size2, BR-grade, lymph node status and adjuvant treatment. b Disease free survival for clinically T1-2 breast cancer patients according to lymph node status. Median follow-up 6.4 years, on the basis of Cox proportional hazard analyses adjusted for age, age2, tumor size, BR-grade, lymph node status and adjuvant treatment Similarly, after adjustment for hospital, age, tumor size, and BR grade, DFS was not statistically different in the pN1micro group compared with pN0 patients (HR: 0.84; 95% CI: 0.49–1.43) and was significantly worse for the pN1a or pN≥1b patients (HR: 1.35; 95% CI: 1.02–1.79 and HR: 2.29, 95% CI: 1.60–3.29, respectively; Table 3 and Fig. 1b). Additional adjustment for adjuvant therapy did not change the HR between the pN1micro and pN0 groups and strengthened the HR for both the pN1a and pN≥1b groups compared with pN0 patients (Table 3). There was a marginal, nonsignificant, increased risk of developing distant metastases in the pN1micro group compared with pN0 patients (hospital, age, tumor size, and BR grade adjusted; HR: 1.10; 95% CI: 0.55–2.22), in contrast with a substantially increased risk in the pN1a and pN≥1b groups (hospital, age, tumor size, and BR grade adjusted; HR: 2.02; 95% CI: 1.39–2.92 and HR: 3.22; 95% CI: 2.06–5.05, respectively; Table 4).
Table 4

Lymph node status and risk of metastasis for 1411 cT1-2 breast cancer patients (from 7 Dutch hospitals operated between 2000 and 2003) in a hospital-only adjusted model, after additional adjustment for age, tumor size, and BR grade and after additional adjustment for adjuvant treatment

No. of patientsFollow-upa No. eventsIncidence rateb Adjusted model 1c Adjusted model 2d Adjusted model 3e
Hazard ratio (95% CI) P Hazard ratio (95% CI) P Hazard ratio (95% CI) P
Metastasis, all
 All1411841316519.61
 pN0 92256047813.921.00 (referent)1.00 (referent)1.00 (referent)
 pN1micro 1036241016.031.06 (0.53–2.12).871.10 (0.55–2.22).791.22 (0.60–2.49).59
 pN1a 28516554829.002.13 (1.48–3.05)<.0012.02 (1.39–2.92)<.0012.26 (1.49–3.40)<.001
 pN≥1b 1015302954.724.06 (2.63–6.25)<.0013.22 (2.06–5.05)<.0013.49 (2.12–5.77)<.001
Metastasis, visceral
 All1411852412614.78
 pN0 9225664569.891.00 (referent)1.00 (referent)1.00 (referent)
 pN1micro 103631812.681.15 (0.52–2.54).731.21 (0.55–2.69).641.35 (0.60–3.05).47
 pN1a 28516783923.242.39 (1.59–3.61)<.0012.32 (1.52–3.52)<.0012.58 (1.62–4.13)<.001
 pN≥1b 1015522341.674.35 (2.66–7.12)<.0013.50 (2.10–5.83)<.0013.69 (2.08–6.56)<.001
Metastasis, osseal
 All1411847911413.44
 pN0 9225635529.231.00 (referent)1.00 (referent)1.00 (referent)
 pN1micro 10363069.521.00 (0.43–2.34)1.000.97 (0.41–2.27).941.01 (0.42–2.41).99
 pN1a 28516673722.202.44 (1.60–3.72)<.0012.21 (1.43–3.41)<.0012.34 (1.43–3.84).001
 pN≥1b 1015471934.733.73 (2.19–6.35)<.0012.85 (1.64–4.95)<.0013.10 (1.67–5.73)<.001

aFollow-up time in years (may not total due to rounding)

bIncidence rate per 1000 women per year

cAdjusted by Cox regression analysis for hospital

dAdditionally adjusted by Cox regression analysis for age, tumor size, and BR grade

eAdditionally adjusted by Cox regression analysis for radiotherapy, hormonal therapy, and chemotherapy

Lymph node status and risk of metastasis for 1411 cT1-2 breast cancer patients (from 7 Dutch hospitals operated between 2000 and 2003) in a hospital-only adjusted model, after additional adjustment for age, tumor size, and BR grade and after additional adjustment for adjuvant treatment aFollow-up time in years (may not total due to rounding) bIncidence rate per 1000 women per year cAdjusted by Cox regression analysis for hospital dAdditionally adjusted by Cox regression analysis for age, tumor size, and BR grade eAdditionally adjusted by Cox regression analysis for radiotherapy, hormonal therapy, and chemotherapy The association between nodal status and DFS (adjusted for age, tumor size, BR grade, and adjuvant therapy) was not different between the 7 hospitals (P for interaction between hospital and nodal status: 0.74). The homogeneity chi-square P value was .88 for pN1micro HRs between hospitals, .81 for pN1a, and .75 for pN≥1b—all versus pN0—indicating no evidence of heterogeneity between hospitals.

Sensitivity Analysis with Complete-Case Approach

Analyzing the data with a complete-case approach (thus without imputation of missing values) yielded similar results. This approach led on average to marginally stronger relations (on average 1% inflation of risk estimates [standard deviation 18%]).

Discussion

In this multicenter cohort study of breast cancer patients who underwent SLNB, the presence of LNMM did not affect outcome. Patients with LNMM did not have significantly different OS and DFS compared with patients without lymph node metastases, while they had a substantially better prognosis than patients with pN1 disease. The main strengths of the present study are the long follow-up (close to 6.5 years median) and the multicenter approach, contributing to a study population more reflective of all breast cancer cases compared with our previous single institution study.10 Furthermore, the study cohort is large with more than 100 patients with LNMM, and we performed multivariable analyses to control for potential confounding factors in contrast to the majority of similar studies until now.17 A weakness of this study is its retrospective nature. Pathology procedures were not standardized, leading to differences between hospitals especially with regard to classifying malignancy grade. This led to incomplete information on BR grade and MAI, which was overcome statistically by imputing data. Furthermore, the observed frequency of pN1micro patients differed significantly between the hospitals, and the overall 7.3% was lower than expected. In the aforementioned single-institution study, we observed LNMM in 11.5% of the patients, and others have reported frequencies of LNMM in up to 23% of the patients.1,6,7,10 Assuming that misclassification may have occurred, the impact of such misclassification seems minor, since outcome endpoints for the different N classes showed a similar pattern irrespective of the frequency of LNMM in the hospitals. Even when adjusting for adjuvant systemic therapy, a similar outcome was observed in patients with pN0 and pN1micro disease, and the outcome was substantially better than the outcome of patients with pN1 disease. As the estimated risk reductions of adjuvant hormonal and chemotherapy (0.66 and 0.77, respectively, for OS) were in line with reported risk reductions of these therapies in randomized clinical trials, this adjustment is adequate.18 The controversy regarding the prognostic meaning of LNMM is not new. Intuitively, it would make sense that limited lymph node involvement has a limited effect on prognosis, as the extent of lymph node involvement is directly related to OS. In older “ALND” studies, when micrometastases were rarely detected, some reported a prognostic impact while others did not.12,13,19 The largest study, based on population-based SEER-data, showed that patients with LNMM had a prognosis that was in between the prognosis of node negative patients and of pN1 patients.20 The January 2010 7th edition of the American Joint Committee on Cancer Staging Manual has revised the staging of LNMM. Traditionally, LNMM was grouped with macrometastases (stage II and above), but is now downstaged to stage IB for small tumors, in order to “indicate the better prognosis for the subset of breast cancer patients and to facilitate further investigation.”21 This revision is based on SEER data, and no reference is made to other studies.20 Some studies based on lymph nodes examined by SLNB suggested a worse DFS in patients with LNMM without a significant effect on OS, but others, including the previous report from one of the institutions participating in the present study, did not find a significant relation between DFS or OS and the presence of LNMM.8,10,11,17 These reports and the present study contrast sharply with the conclusions from the recently published MIRROR study that did observe a significant impact of both micrometastases and isolated tumor cells on outcome, as well as a substantial beneficial effect of adjuvant treatment in these patients.9 Interestingly, the MIRROR study includes patients from all Dutch hospitals and was partly conducted during the same years as the study we currently report on. Consequently, a substantial proportion of the patients from the present study were in the MIRROR study too. The most important difference between the two studies is the endpoint that was used to draw conclusions. As of now, the MIRROR study has not reported on OS but merely on DFS. In our view, the appropriateness of focusing on DFS is questionable, particularly in patients with a good prognosis due to a low risk of distant metastases. In these patients the contribution of contralateral breast cancer and local recurrence to the composite endpoint DFS is large. In the supplementary appendix accompanying the published version of the MIRROR study (accessible through the NEJM website) supplementary Table 2 lists the 5-year event rates of individual components of DFS. While the reported DFS after 5 years was 86% in the pN0 and 76% in the pN1micro group, respectively, the 5-year rates of distant metastases were 2.8% in the pN0 group and 4.6% in the pN1micro group (without adjuvant treatment). As such, distant metastases were less frequent than contralateral breast cancers and locoregional recurrences and probably also less common than death due to unrelated causes, although these data are not presented. Similarly, the beneficial effects of adjuvant treatment in the pN1micro group on DFS seem to be largely driven by effects on contralateral breast cancer and locoregional recurrence. Based on these observations, we are not convinced that the reported significant DFS difference will translate into an OS difference. Especially since large breast cancer trials have reported inconsistent results for DFS and OS.22 The relevance of the prognostic meaning of micrometastatic disease in breast cancer patients is the answer to the clinical problem of whether pN1micro on its own should be an indication for adjuvant systemic treatment. Indications for adjuvant systemic therapy based on primary tumor characteristics have expanded. Hence, nowadays 80% of the LNMM patients of the present cohort would receive adjuvant systemic therapy based on the primary tumor characteristics. The present data from a large multicenter population with a long-term follow-up do not support the use of adjuvant systemic treatment in patients only because they have LNMM. However, this issue warrants ongoing debate and should be addressed preferably in a randomized trial using overall survival as its primary endpoint. Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 47 kb)
  20 in total

Review 1.  Complete sectioning of axillary sentinel nodes in patients with breast cancer. Analysis of two different step sectioning and immunohistochemistry protocols in 246 patients.

Authors:  G Cserni
Journal:  J Clin Pathol       Date:  2002-12       Impact factor: 3.411

Review 2.  Pathological work-up of sentinel lymph nodes in breast cancer. Review of current data to be considered for the formulation of guidelines.

Authors:  G Cserni; I Amendoeira; N Apostolikas; J P Bellocq; S Bianchi; G Bussolati; W Boecker; B Borisch; C E Connolly; T Decker; P Dervan; M Drijkoningen; I O Ellis; C W Elston; V Eusebi; D Faverly; P Heikkila; R Holland; H Kerner; J Kulka; J Jacquemier; M Lacerda; J Martinez-Penuela; C De Miguel; J L Peterse; F Rank; P Regitnig; A Reiner; A Sapino; B Sigal-Zafrani; A M Tanous; S Thorstenson; E Zozaya; C A Wells
Journal:  Eur J Cancer       Date:  2003-08       Impact factor: 9.162

3.  [Dutch Institute for Healthcare Improvement guideline, "Treatment of breast cancer"].

Authors:  E J Th Rutgers; J W R Nortier; M K Tuut; G van Tienhoven; H Struikmans; M Bontenbal; M F von Meyenfeldt; G Vreugdenhil; T Benraadt; B Garssen; J L Peterse
Journal:  Ned Tijdschr Geneeskd       Date:  2002-11-09

4.  Significance of axillary macrometastases and micrometastases in mammary cancer.

Authors:  A G Huvos; R V Hutter; J W Berg
Journal:  Ann Surg       Date:  1971-01       Impact factor: 12.969

5.  Size of breast cancer metastases in axillary lymph nodes: clinical relevance of minimal lymph node involvement.

Authors:  Marco Colleoni; Nicole Rotmensz; Giulia Peruzzotti; Patrick Maisonneuve; Giovanni Mazzarol; Giancarlo Pruneri; Alberto Luini; Mattia Intra; Paolo Veronesi; Viviana Galimberti; Rosalba Torrisi; Anna Cardillo; Aron Goldhirsch; Giuseppe Viale
Journal:  J Clin Oncol       Date:  2005-03-01       Impact factor: 44.544

6.  Metastases in axillary sentinel lymph nodes in breast cancer as detected by intensive histopathological work up.

Authors:  G Cserni
Journal:  J Clin Pathol       Date:  1999-12       Impact factor: 3.411

Review 7.  Breast cancer prognosis and occult lymph node metastases, isolated tumor cells, and micrometastases.

Authors:  M de Boer; J A A M van Dijck; P Bult; G F Borm; V C G Tjan-Heijnen
Journal:  J Natl Cancer Inst       Date:  2010-02-26       Impact factor: 13.506

Review 8.  Micro-metastases in axillary lymph nodes: an increasing classification and treatment dilemma in breast cancer due to the introduction of the sentinel lymph node procedure.

Authors:  V C Tjan-Heijnen; P Buit; L M de Widt-Evert; T J Ruers; L V Beex
Journal:  Breast Cancer Res Treat       Date:  2001-11       Impact factor: 4.872

9.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

10.  Axillary micro- and macrometastases in breast cancer: prognostic significance of tumor size.

Authors:  P P Rosen; P E Saigo; D W Braun; E Weathers; A A Fracchia; D W Kinne
Journal:  Ann Surg       Date:  1981-11       Impact factor: 12.969

View more
  12 in total

Review 1.  Consensus on the regional lymph nodes irradiation in breast cancer.

Authors:  E Bayo; I Herruzo; M Arenas; M Algara
Journal:  Clin Transl Oncol       Date:  2013-03-22       Impact factor: 3.405

Review 2.  Clinical significance of breast cancer micrometastasis in the sentinel lymph node.

Authors:  Kenzo Shimazu; Shinzaburo Noguchi
Journal:  Surg Today       Date:  2015-04-17       Impact factor: 2.549

3.  Frozen section analysis of sentinel lymph nodes in patients with breast cancer does not impair the probability to detect lymph node metastases.

Authors:  Eva V E Madsen; Jan van Dalen; Joost van Gorp; Poultje M P van Oort; Thijs van Dalen
Journal:  Virchows Arch       Date:  2011-11-25       Impact factor: 4.064

Review 4.  Main controversies in breast cancer.

Authors:  Stephane Zervoudis; George Iatrakis; Eirini Tomara; Anastasia Bothou; George Papadopoulos; George Tsakiris
Journal:  World J Clin Oncol       Date:  2014-08-10

Review 5.  Locoregional treatment of early breast cancer with isolated tumor cells or micrometastases on sentinel lymph node biopsy.

Authors:  Agnès Tallet; Eric Lambaudie; Monique Cohen; Mathieu Minsat; Marie Bannier; Michel Resbeut; Gilles Houvenaeghel
Journal:  World J Clin Oncol       Date:  2016-04-10

6.  Three-dimensional quantitative ultrasound for detecting lymph node metastases.

Authors:  Emi Saegusa-Beecroft; Junji Machi; Jonathan Mamou; Masaki Hata; Alain Coron; Eugene T Yanagihara; Tadashi Yamaguchi; Michael L Oelze; Pascal Laugier; Ernest J Feleppa
Journal:  J Surg Res       Date:  2013-01-08       Impact factor: 2.192

7.  Sentinel lymph node biopsy of the internal mammary chain in breast cancer.

Authors:  E L Postma; S van Wieringen; M G Hobbelink; H M Verkooijen; H J G D van den Bongard; I H M Borel Rinkes; A J Witkamp
Journal:  Breast Cancer Res Treat       Date:  2012-06-08       Impact factor: 4.872

Review 8.  Controversial indications for sentinel lymph node biopsy in breast cancer patients.

Authors:  Hazem Assi; Eman Sbaity; Mahmoud Abdelsalam; Ali Shamseddine
Journal:  Biomed Res Int       Date:  2015-03-03       Impact factor: 3.411

9.  Sentinel lymph node biopsy in breast cancer.

Authors:  Abdulaziz A Alsaif
Journal:  Saudi Med J       Date:  2015-09       Impact factor: 1.484

10.  The non-receptor tyrosine kinase TNK2/ACK1 is a novel therapeutic target in triple negative breast cancer.

Authors:  Xinyan Wu; Muhammad Saddiq Zahari; Santosh Renuse; Dhanashree S Kelkar; Mustafa A Barbhuiya; Pamela L Rojas; Vered Stearns; Edward Gabrielson; Pavani Malla; Saraswati Sukumar; Nupam P Mahajan; Akhilesh Pandey
Journal:  Oncotarget       Date:  2017-01-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.